An adaptive approach for identifying cocaine dependent patients who benefit from extended continuing care

Delivering Peer-Based Support in Prisons During the COVID Pandemic and Lockdown: Innovative Activities Delivered by People Who Care

During COVID and lockdown, many prisoners have not only been affected by infection transmission in crowded and ill-equipped institutions, they have also been separated from a range of supports, including loss of family and professional supports and support for prisoners with addiction and/or mental health problems has been disrupted. This paper reports on evidence of how peer-based recovery organizations have attempted to mitigate these adverse effects, based on a case study of one prison in the North-West of England, using a range of routine reporting data and original research data. The paper shows how prison-based peer recovery support has not only continued through lockdown but grown both in the prison and in continuing care on release. The key conclusion is that Lived Experience Recovery Organizations (LEROs) have a vital role to play in offering continuing care to prison populations both to support early recovery and to sustain change around release back into the community, in COVID but also more generally.

Examining cocaine use reductions and long-term outcomes in two clinical trials of continuing care for cocaine dependence

BACKGROUND

There is a need to identify clinically meaningful non-abstinent endpoints for cocaine use disorder (CUD) clinical trials. In this study, we sought to replicate and extend prior work validating reductions in cocaine use frequency levels as an endpoint by examining associations between reductions in cocaine use frequency and long-term functioning outcomes.

METHODS

We conducted a secondary analysis of two randomized clinical trials (N = 445; 77.5 % male; mean age = 42.18 years; 86.5 % Black, 10.8 % non-Hispanic white) that evaluated telephone-based continuing care for a 12- and 24-month period. Cocaine use frequency levels, measured with the Timeline Followback, were (1) abstinence (no past-month cocaine use), (2) low-frequency use (1-4 days of use/month), and (3) high-frequency use (5+ days of use/month).

RESULTS

Among those who completed the 12-month follow-up (n = 392), most reduced from high-frequency use at baseline to abstinence at the 12-month follow-up (n = 243; 62.0 %). An additional 21.2 % (n = 83) reported either high-to-low-frequency use (n = 35; 8.9 %) or low use-to-abstinence (n = 48; 12.2 %); 16.8 % of participants (n = 66) did not change or increased their cocaine frequency level. Compared to those who had no change/increases in frequency levels, at least a one-level reduction from baseline to 12-month follow-up (i.e., high-to-low-frequency use, high-to-abstinence, low-to-abstinence) was concurrently associated with lower levels of negative consequences at the 12-month follow-up and prospectively with lower levels of cocaine use and consequences at 24-month follow-up, with effect sizes in the medium-to-large range. Those who reduced to abstinence generally had fewer drug use consequences at the 12-month follow-up than those who reduced to a low-frequency level; however, these groups did not significantly differ on any outcomes at the 24-month follow-up.

CONCLUSIONS

Categorical reductions in cocaine use frequency levels, including those short of abstinence, are associated with less cocaine use and lower problem severity up to two years following treatment entry. Low-frequency cocaine use following the initial treatment phase does not appear to forebode worsening functioning, such as escalations in cocaine use.

The reflections of health service providers on implementing contingency management for methamphetamine use disorder in Australia

INTRODUCTION

Contingency management (CM) is the most effective treatment for reducing methamphetamine use. We sought to understand why CM has not been taken up to manage methamphetamine use disorder in Australia.

METHODS

Six focus groups (4-8 participants per group) were conducted with health workers from agencies in Australia that provided drug-related health care to people who use methamphetamine. These agencies had no previous experience delivering CM for substance use. The potential acceptability and feasibility of implementing CM in their services were discussed.

RESULTS

Participants felt that it would be beneficial to have an evidence-based treatment for methamphetamine use disorder. This sentiment was offset by concerns that CM conflicted with a client-centred harm-reduction approach and that it dictated the goal of treatment as abstinence. It was also perceived as potentially coercive and seen to reify the power imbalance in the therapeutic relationship and therefore potentially reinforce stigma. There was also concern about the public's perception and the political acceptability of CM, who would fund CM, and the inequity of providing incentives only to clients with a methamphetamine use disorder. Some concerns could be ameliorated if the goals and structure of CM could be tailored to a client's needs.

DISCUSSION AND CONCLUSIONS

Many healthcare workers were keen to offer CM as an effective treatment option for people with methamphetamine use disorder, but CM would need to be sufficiently flexible to allow it to be tailored to client needs and implemented in a way that did not adversely impact the therapeutic relationship.

The ASAM/AAAP Clinical Practice Guideline on the Management of Stimulant Use Disorder

The American Society of Addiction Medicine/American Academy of Addiction Psychiatry (ASAM/AAAP) Clinical Practice Guideline on the Management of Stimulant Use Disorder provides guidance on evidence-based strategies for the treatment of stimulant use disorders (StUDs), stimulant intoxication, and stimulant withdrawal, as well as secondary and tertiary prevention of harms associated with stimulant use. The Clinical Guideline Committee (CGC) comprised experts from ASAM and AAAP representing a range of clinical settings and patient populations. The guideline was developed following modified GRADE methodology. The process included a systematic literature review as well as several targeted supplemental searches. The CGC utilized Evidence to Decision tables to review available evidence and rate the strength of each recommendation. The clinical practice guideline was revised based on external stakeholder review. Key takeaways included: Contingency management represents the current standard of care for treatment of StUDs; Pharmacotherapies may be utilized off-label to treat StUDs; Acute stimulant intoxication can result in life-threatening complications that should be addressed in an appropriate level of care; Secondary and tertiary prevention strategies should be used to reduce harms related to risky stimulant use.

Psychosocial interventions for stimulant use disorder

BACKGROUND

Stimulant use disorder is a continuously growing medical and social burden without approved medications available for its treatment. Psychosocial interventions could be a valid approach to help people reduce or cease stimulant consumption. This is an update of a Cochrane review first published in 2016.

OBJECTIVES

To assess the efficacy and safety of psychosocial interventions for stimulant use disorder in adults.

SEARCH METHODS

We searched the Cochrane Drugs and Alcohol Group Specialised Register, Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, three other databases, and two trials registers in September 2023. All searches included non-English language literature. We handsearched the references of topic-related systematic reviews and the included studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) comparing any psychosocial intervention with no intervention, treatment as usual (TAU), or a different intervention in adults with stimulant use disorder.

DATA COLLECTION AND ANALYSIS

We used the standard methodological procedures expected by Cochrane.

MAIN RESULTS

We included a total of 64 RCTs (8241 participants). Seventy-three percent of studies included participants with cocaine or crack cocaine use disorder; 3.1% included participants with amphetamine use disorder; 10.9% included participants with methamphetamine use disorder; and 12.5% included participants with any stimulant use disorder. In 18 studies, all participants were in methadone maintenance treatment. In our primary comparison of any psychosocial treatment to no intervention, we included studies which compared a psychosocial intervention plus TAU to TAU alone. In this comparison, 12 studies evaluated cognitive behavioural therapy (CBT), 27 contingency management, three motivational interviewing, one study looked at psychodynamic therapy, and one study evaluated CBT plus contingency management. We also compared any psychosocial intervention to TAU. In this comparison, seven studies evaluated CBT, two contingency management, two motivational interviewing, and one evaluated a combination of CBT plus motivational interviewing. Seven studies compared contingency management reinforcement related to abstinence versus contingency management not related to abstinence. Finally, seven studies compared two different psychosocial approaches. We judged 65.6% of the studies to be at low risk of bias for random sequence generation and 19% at low risk for allocation concealment. Blinding of personnel and participants was not possible for the type of intervention, so we judged all the studies to be at high risk of performance bias for subjective outcomes but at low risk for objective outcomes. We judged 22% of the studies to be at low risk of detection bias for subjective outcomes. We judged most of the studies (69%) to be at low risk of attrition bias. When compared to no intervention, we found that psychosocial treatments: reduce the dropout rate (risk ratio (RR) 0.82, 95% confidence interval (CI) 0.74 to 0.91; 30 studies, 4078 participants; high-certainty evidence); make little to no difference to point abstinence at the end of treatment (RR 1.15, 95% CI 0.94 to 1.41; 12 studies, 1293 participants; high-certainty evidence); make little to no difference to point abstinence at the longest follow-up (RR 1.22, 95% CI 0.91 to 1.62; 9 studies, 1187 participants; high-certainty evidence); probably increase continuous abstinence at the end of treatment (RR 1.89, 95% CI 1.20 to 2.97; 12 studies, 1770 participants; moderate-certainty evidence); may make little to no difference in continuous abstinence at the longest follow-up (RR 1.14, 95% CI 0.89 to 1.46; 4 studies, 295 participants; low-certainty evidence); reduce the frequency of drug intake at the end of treatment (standardised mean difference (SMD) -0.35, 95% CI -0.50 to -0.19; 10 studies, 1215 participants; high-certainty evidence); and increase the longest period of abstinence (SMD 0.54, 95% CI 0.41 to 0.68; 17 studies, 2118 participants; high-certainty evidence). When compared to TAU, we found that psychosocial treatments reduce the dropout rate (RR 0.79, 95% CI 0.65 to 0.97; 9 studies, 735 participants; high-certainty evidence) and may make little to no difference in point abstinence at the end of treatment (RR 1.67, 95% CI 0.64 to 4.31; 1 study, 128 participants; low-certainty evidence). We are uncertain whether they make any difference in point abstinence at the longest follow-up (RR 1.31, 95% CI 0.86 to 1.99; 2 studies, 124 participants; very low-certainty evidence). Compared to TAU, psychosocial treatments may make little to no difference in continuous abstinence at the end of treatment (RR 1.18, 95% CI 0.92 to 1.53; 1 study, 128 participants; low-certainty evidence); probably make little to no difference in the frequency of drug intake at the end of treatment (SMD -1.17, 95% CI -2.81 to 0.47, 4 studies, 479 participants, moderate-certainty evidence); and may make little to no difference in the longest period of abstinence (SMD -0.16, 95% CI -0.54 to 0.21; 1 study, 110 participants; low-certainty evidence). None of the studies for this comparison assessed continuous abstinence at the longest follow-up. Only five studies reported harms related to psychosocial interventions; four of them stated that no adverse events occurred.

AUTHORS' CONCLUSIONS

This review's findings indicate that psychosocial treatments can help people with stimulant use disorder by reducing dropout rates. This conclusion is based on high-certainty evidence from comparisons of psychosocial interventions with both no treatment and TAU. This is an important finding because many people with stimulant use disorders leave treatment prematurely. Stimulant use disorders are chronic, lifelong, relapsing mental disorders, which require substantial therapeutic efforts to achieve abstinence. For those who are not yet able to achieve complete abstinence, retention in treatment may help to reduce the risks associated with stimulant use. In addition, psychosocial interventions reduce stimulant use compared to no treatment, but they may make little to no difference to stimulant use when compared to TAU. The most studied and promising psychosocial approach is contingency management. Relatively few studies explored the other approaches, so we cannot rule out the possibility that the results were imprecise due to small sample sizes.

Patient Perspective on the Role of Substance-Free Activities During Alcohol Use Disorder Treatment: A Mixed-Method Study

Behavioral economic theory of addiction proposes that substance use often takes place in environments with limited substance-free reinforcement. While increasing substance-free reinforcement is known to reduce substance use, systematic efforts to boost substance-free reinforcement is not often a focus of most alcohol treatment programs. Participants (N=21) with alcohol use disorder participated in virtual focus group sessions. Qualitative content analysis was conducted on participants' verbatim responses. Substance-free activities were also assessed with a 66-item modified pleasant activity list specifying activity engagement frequency and enjoyment. All participants reported introduction to substance-free activity engagement as part of their treatment, although those in group therapy (relative to individual) reported less consistent support. While motives for initial activity engagement were reported as stemming from external sources (i.e., therapist), activity maintenance was linked to intrinsic motives (i.e., personal interest). All participants identified substance-free activities as a key aid to successful recovery. Types of most helpful activities were ones related to self-care, social connections, acts of service, and creative outlets. Findings are consistent with theories of behavior change and suggest participants believe substance-free activity engagement is an important component of their recovery, however they are not receiving consistent support during the pivotal early recovery period.

Digital approaches to continuing care

PURPOSE OF REVIEW

To provide an update of studies on the effectiveness of digital and telephonic approaches to providing remote continuing care for substance use disorders.

RECENT FINDINGS

Effective continuing care can be provided via smartphone apps, text messaging, interactive voice response, and structured telephone counseling. The remote continuing care interventions with the strongest evidence of efficacy are the Addiction Comprehensive Health Enhancement Support System app and Telephone Monitoring and Counseling. Positive effects for these intervention on drinking outcomes in patients with alcohol use disorders were replicated in a recent randomized controlled study.

SUMMARY

Continuing care is widely believed to be an important component of treatment for substance use disorders, especially for sustaining positive outcomes. However, many individuals do not attend clinic-based continuing care, due to a variety of reasons, including competing work and family responsibilities, disabilities, transportation challenges, and recently the COVID-19 pandemic. Remote continuing care, provided via smartphone apps, text messaging, and various telephonic approaches, has been shown to be effective, and could be used to provide continuing care to patients who would otherwise not receive it. Further work is needed to determine how to effectively combine more traditional continuing care with newer digitized and telephonic approaches.

A holistic perspective on continuing care for substance use and dependence: Results and implications from an in-depth study of a Norwegian continuing care establishment

This article explores, systematically and in depth, users’ perceptions of participating in a Norwegian non-profit establishment that provides a continuing care programme for substance use and dependence. Identified results are linked to a holistic system perspective, where human, technology, and organisation (HTO), as well as external environment, are viewed as intertwined. At the establishment level, i.e., where the continuing care programme is delivered, we find that a clear holistic and user-oriented profile – comprising combined interventions including physical and social activities – can create a safe and stable environment that exerts a positive mental and physical influence on the user and thereby promotes abstinence from substances. However, our results suggest that the internal environment needs to connect more strongly with the external environment, such as a substance-free network, close family, and working life. At the establishment level, we conclude that there is a need to develop an explicit strategy and practice for collaborating with the external environment, built on systemisation and application of individual users’ insights into the design of the current interventions. Further research should explore the presence and absence of interplays between elements of human, technology, and organisation and the external environment, and the associated consequences for intervention processes and users’ health outcomes. Our holistic system model, empirically informed by data from a Norwegian context, can represent a starting point for such endeavours. The holistic system model also constitutes an original and novel contribution to research on continuing care interventions.

Do financial incentives increase mental health treatment engagement? A meta-analysis

OBJECTIVE

Engagement in mental health treatment is low, which can lead to poor outcomes. We evaluated the efficacy of offering patients financial incentives to increase their mental health treatment engagement, also referred to as contingency management.

METHOD

We meta-analyzed studies offering financial incentives for mental health treatment engagement, including increasing treatment attendance, medication adherence, and treatment goal completion. Analyses were run within a multilevel framework. All study designs were included, and sensitivity analyses were run including only randomized and high-quality studies.

RESULTS

About 80% of interventions incentivized treatment for substance use disorders. Financial incentives significantly increased treatment attendance (Hedges' g = 0.49, [0.33, 0.64], k = 30, I2 = 83.14), medication adherence (Hedges' g = 0.95, [0.47, 1.44], k = 6, I2 = 87.73), and treatment goal completion (Hedges' g = 0.61, [0.22, 0.99], k = 5, I2 = 60.55), including completing homework, signing treatment plans, and reducing problematic behavior.

CONCLUSIONS

Financial incentives increase treatment engagement with medium to large effect sizes. We provide strong evidence for their effectiveness in increasing substance use treatment engagement and preliminary evidence for their effectiveness in increasing treatment engagement for other mental health disorders. Future research should prioritize testing the efficacy of incentivizing treatment engagement for mental health disorders aside from substance use. Research must also identify ways to incentivize treatment engagement that improve functioning and long-term outcomes and address ethical and systemic barriers to implementing these interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Efficacy and comparative effectiveness of telephone and smartphone remote continuing care interventions for alcohol use disorder: a randomized controlled trial

BACKGROUND AND AIMS

Management of alcohol use disorder (AUD) could be enhanced by effective remote treatments. This study tested whether supplementing intensive outpatient programs (IOPs) with continuing care delivered via (1) telephone, (2) smartphone or (3) their combination improves outcomes relative to (4) IOP only. Continuing care conditions were also compared.

DESIGN

Randomized controlled trial of four groups with 3-, 6-, 9-, 12- and 18-month follow-ups.

SETTING

University research center in Philadelphia, PA, USA.

PARTICIPANTS

Participants (n = 262) met DSM-V criteria for AUD, were largely male (71%) and African American (82%).

INTERVENTIONS AND COMPARATOR

Telephone monitoring and counseling (TMC; n = 59), addiction comprehensive health enhancement support system (ACHESS; n = 68) and TMC + ACHESS (n = 70) provided for 12 months. The control condition received IOP only (TAU; n = 65).

MEASUREMENT

The primary outcome was percentage of days heavy drinking (PDHD) in months 1-12. Secondary outcomes were any drinking, any drug use, drinking consequences and quality of life.

FINDINGS

Mean PDHD in months 1-12 was 10.29 in TAU, 5.41 in TMC, 6.80 in ACHESS and 5.99 in TMC + ACHESS. PDHD was lower in TMC [Cohen's d = 0.35, P = 0.018, 95% confidence interval (CI) = (-1.42, -0.20)], ACHESS [d = 0.31, P = 0.031, 95% CI = (-1.27, -0.06)] and TMC + ACHESS [d = 0.36, P = 0.009, 95% CI = (-1.40, -0.20)] than in TAU. Differences between TMC + ACHESS, TMC and ACHESS were small (d ≤ 0.06) and non-significant. Findings were inconclusive as to whether or not the treatment conditions differed on PDHD at 18 months. A significant effect was obtained on any drinking, which was higher in months 1-12 in TAU than in TMC [odds ratio (OR) = 3.02, standard error (SE) = 0.43, 95% CI = (1.30, 6.99), P = 0.01] and TMC + ACHESS [OR = 2.43, SE = 0.39, 95% CI = (1.12, 5.27), P = 0.025). No other significant effects were obtained on other secondary outcomes during or after treatment.

CONCLUSIONS

A telephone-delivered intervention and a smartphone-delivered intervention, alone and in combination, provided effective remote continuing care for alcohol use disorder. The combination of both interventions was not superior to either alone and effects did not persist post-treatment.

A systematic review and meta-analysis of the efficacy of the long-term treatment and support of substance use disorders

RATIONALE

The reconceptualization of substance use disorders (SUD) as a chronic phenomenon calls for a paradigm shift in service provision, particularly by way of long-term treatment and support. Studies that have evaluated the efficacy of long-term treatment models seem to indicate that they are an improvement on more standard short-term treatments, even though these studies do not take the durations into consideration.

OBJECTIVE

Measure the efficacy of SUD treatments and support lasting 18 months or more regarding their ability to decrease substance use as compared to shorter treatments.

METHODS

A meta-analysis based on a systematic literature review was conducted. Eight databases were consulted for peer-reviewed studies. Certain variables were coded as moderators: intervention length, participant characteristics, and treatment characteristics.

RESULTS

The main results suggest that the people who received a planned long-term treatment or support had a 23.9 % greater chance of abstaining or consuming moderately than did people who received a shorter standard treatment (OR = 1.347 [CI 95 % = 1.087-1.668], p < .006, adjusted OR = 1.460 [CI 95 % = 1.145-1.861]). None of the moderation analyses revealed any variation in the efficacy of the long-term treatments and support.

CONCLUSIONS

The reconceptualization of the SUD as a chronic disorder among people with this problem leads us to reconsider both the length of the services provided and the paradigms underlying their organization.

Comparison of Treatments for Cocaine Use Disorder Among Adults: A Systematic Review and Meta-analysis

IMPORTANCE

In the US and the United Kingdom, cocaine use is the second leading cause of illicit drug overdose death. Psychosocial treatments for cocaine use disorder are limited, and no pharmacotherapy is approved for use in the US or Europe.

OBJECTIVE

To compare treatments for active cocaine use among adults.

DATA SOURCES

PubMed and the Cochrane Database of Systematic Reviews were searched for clinical trials published between December 31, 1995, and December 31, 2017.

STUDY SELECTION

This meta-analysis was registered on Covidence.org (study 8731) on December 31, 2015. Clinical trials were included if they (1) had the term cocaine in the article title; (2) were published between December 31, 1995, and December 31, 2017; (3) were written in English; (4) enrolled outpatients 18 years or older with active cocaine use at baseline; and (5) reported treatment group size, treatment duration, retention rates, and urinalysis results for the presence of cocaine metabolites. A study was excluded if (1) more than 25% of participants were not active cocaine users or more than 80% of participants had negative test results for the presence of cocaine metabolites at baseline and (2) it reported only pooled urinalysis results indicating the presence of multiple substances and did not report the specific proportion of positive test results for cocaine metabolites. Multiple reviewers reached criteria consensus. Of 831 records screened, 157 studies (18.9%) met selection criteria and were included in the analysis.

DATA EXTRACTION AND SYNTHESIS

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline. Search results were imported from PubMed XML into Covidence.org then Microsoft Excel. Data extraction was completed in 2 iterations to ensure fidelity. Analyses included a multilevel random-effects model, a multilevel mixed-effects meta-regression model, and sensitivity analyses. Treatments were clustered into 11 categories (psychotherapy, contingency management programs, placebo, opioids, psychostimulants, anticonvulsants, dopamine agonists, antidepressants, antipsychotics, miscellaneous medications, and other therapies). Missing data were imputed using multiple imputation by chained equations. The significance threshold for all analyses was P = .05. Data were analyzed using the metafor and mice packages in R software, version 3.3.2 (R Foundation for Statistical Computing). Data were analyzed from January 1, 2018, to February 28, 2021.

MAIN OUTCOMES AND MEASURES

The primary outcome was the intention-to-treat logarithm of the odds ratio (OR) of having a negative urinalysis result for the presence of cocaine metabolites at the end of each treatment period compared with baseline. The hypothesis, which was formulated after data collection, was that no treatment category would have a significant association with objective reductions in cocaine use.

RESULTS

A total of 157 studies comprising 402 treatment groups and 15 842 participants were included. Excluding other therapies, the largest treatment groups across all studies were psychotherapy (mean [SD] number of participants, 40.04 [36.88]) and contingency management programs (mean [SD] number of participants, 37.51 [25.51]). Only contingency management programs were significantly associated with an increased likelihood of having a negative test result for the presence of cocaine (OR, 2.13; 95% CI, 1.62-2.80), and this association remained significant in all sensitivity analyses.

CONCLUSIONS AND RELEVANCE

In this meta-analysis, contingency management programs were associated with reductions in cocaine use among adults. Research efforts and policies that align with this treatment modality may benefit those who actively use cocaine and attenuate societal burdens.

Impact of Continuing Care on Recovery From Substance Use Disorder

Continuing care is widely believed to be an important component of effective treatment for substance use disorder, particularly for those individuals with greater problem severity. The purpose of this review was to examine the research literature on continuing care for alcohol and drug use disorders, including studies that addressed efficacy, moderators, mechanisms of action, and economic impact. This narrative review first considered findings from prior reviews (published through 2014), followed by a more detailed examination of studies published more recently. The review found that research has generally supported the efficacy of continuing care for both adolescents and adults, but the picture is complex. Reviews find relatively small effects when results from individual studies are combined. However, continuing care of longer duration that includes more active efforts to keep patients engaged may produce more consistently positive results. Moreover, patients at higher risk for relapse may benefit to a greater degree from continuing care. Several newer approaches for the provision of continuing care show promise. These include incentives for abstinence and automated mobile health interventions to augment more conventional counselor-delivered interventions. Primary care can be used to provide medications for opioid and alcohol use disorders over extended periods, although more research is needed to determine the optimal mix of behavioral treatments and other psychosocial services in this setting. Regardless of the intervention selected for use, the status of most patients will change and evolve over time, and interventions need to include provisions to assess patients on a regular basis and to change or adapt treatment when warranted.

The predictive validity of the progress assessment, a clinician administered instrument for use in measurement-based care for substance use disorders

We tested the predictive validity of the Progress Assessment (PA), a brief counselor administered tool for use in measurement-based care for substance use disorders. The PA includes 5 items assessing relapse risk and 5 items assessing factors protective against relapse. Data were drawn from a completed study of continuing care for cocaine dependence (McKay et al., 2013) and includes 12 months of follow-up on158 participants (76% male) who received brief telephone or face-to-face sessions. Each session began with the administration of the PA, followed by cognitive-behavioral counseling tied to the results of the PA and anticipated risky situations. Outcome was assessed via urine toxicology every 3 months. As administered in an effectiveness trial, average PA risk and protective scales within each 3-month segment of the study predicted urine toxicology results at the end of that period, with higher risk scores and lower protective scores predicting greater rates of cocaine positive urine drug screens. PA scores did not predict dropout from continuing care participation. The 10-item PA shows promise as a pragmatic clinical tool for ongoing monitoring during continuing care for substance dependence.

Effects of automated smartphone mobile recovery support and telephone continuing care in the treatment of alcohol use disorder: study protocol for a randomized controlled trial

Background

New smartphone communication technology provides a novel way to provide personalized continuing care support following alcohol treatment. One such system is the Addiction version of the Comprehensive Health Enhancement Support System (A-CHESS), which provides a range of automated functions that support patients. A-CHESS improved drinking outcomes over standard continuing care when provided to patients leaving inpatient treatment. Effective continuing care can also be delivered via telephone calls with a counselor. Telephone Monitoring and Counseling (TMC) has demonstrated efficacy in two randomized trials with alcohol-dependent patients. A-CHESS and TMC have complementary strengths. A-CHESS provides automated 24/7 recovery support services and frequent assessment of symptoms and status, but does not involve regular contact with a counselor. TMC provides regular and sustained contact with the same counselor, but no ongoing support between calls. The future of continuing care for alcohol use disorders is likely to involve automated mobile technology and counselor contact, but little is known about how best to integrate these services.

Methods/Design

To address this question, the study will feature a 2 × 2 design (A-CHESS for 12 months [yes/no] × TMC for 12 months [yes/no]), in which 280 alcohol-dependent patients in intensive outpatient programs (IOPs) will be randomized to one of the four conditions and followed for 18 months. We will determine whether adding TMC to A-CHESS produces fewer heavy drinking days than TMC or A-CHESS alone and test for TMC and A-CHESS main effects. We will determine the costs of each of the four conditions and the incremental cost-effectiveness of the three active conditions. Analyses will also examine secondary outcomes, including a biological measure of alcohol use, and hypothesized moderation and mediation effects.

Discussion

The results of the study will yield important information on improving patient alcohol use outcomes by integrating mobile automated recovery support and counselor contact.

Trial registration

ClinicalTrials.gov, NCT02681406. Registered on 2 September 2016.

Electronic supplementary material

The online version of this article (10.1186/s13063-018-2466-1) contains supplementary material, which is available to authorized users.

Effect of continuing care for people with cocaine dependence on criminal justice sentences

While continuing care for substance use treatment has been associated with reduced involvement in the criminal justice system, much of this research lacks random assignment to continuing care and so is limited by self-selection bias. This study sought to determine the impact of adding telephone-based continuing care to intensive outpatient programs on criminal justice outcomes for people with cocaine dependence. In three continuing care studies, spanning 1998-2008, participants were randomly assigned to an intensive outpatient program or an intensive outpatient program plus a telephone-based continuing care intervention. Cocaine-dependent participants from these three studies were included in the analyses, with outcomes derived from a dataset of jurisdiction-wide criminal sentences from a state sentencing agency. Multiple logistic regression was employed to examine the odds of a criminal conviction occurring in the 4 years after enrollment in a continuing care study. The results showed that, controlling for a criminal sentence in the previous year, gender, age, and continuing care study, people with cocaine dependence randomized to an intensive outpatient program plus a telephone-based continuing care intervention had 54% lower odds (p = 0.05, odds ratio = 0.46, 95% CI: 0.20-1.02) of a criminal sentence in the 4 years after enrollment in the continuing care study, compared with those randomized to an intensive outpatient program alone. We can conclude that adding telephone monitoring and counseling to intensive outpatient programs is associated with fewer criminal convictions over a 4-year follow-up period compared with intensive outpatient programs alone.

Making the hard work of recovery more attractive for those with substance use disorders

BACKGROUND

Research has led to improvements in the effectiveness of interventions for substance use disorders (SUD), but for the most part progress has been modest, particularly with regard to longer-term outcomes. Moreover, most individuals with SUD do not seek out treatment.

ARGUMENT/ANALYSIS

This paper presents two recommendations on how to improve treatment engagement and long-term outcomes for those with SUD. First, treatments should go beyond a focus on reducing or eliminating substance use to target greater access to and more time spent in experiences that will be enjoyable or otherwise rewarding to clients. Secondly, there must be sufficient incentives in the environment to justify the effort needed to sustain long-term abstinence for individuals who often have limited access to such incentives.

CONCLUSIONS

To increase rates of long-term recovery from substance misuse, treatments should link clients to reinforcers that will make continued abstinence more appealing. This work needs to extend beyond interventions focused on the individual or family to include the local community and national policy in an effort to incentivize longer-term recoveries more strongly.

A SMART data analysis method for constructing adaptive treatment strategies for substance use disorders

AIMS

To demonstrate how Q-learning, a novel data analysis method, can be used with data from a sequential, multiple assignment, randomized trial (SMART) to construct empirically an adaptive treatment strategy (ATS) that is more tailored than the ATSs already embedded in a SMART.

METHOD

We use Q-learning with data from the Extending Treatment Effectiveness of Naltrexone (ExTENd) SMART (N = 250) to construct empirically an ATS employing naltrexone, behavioral intervention, and telephone disease management to reduce alcohol consumption over 24 weeks in alcohol dependent individuals.

RESULTS

Q-learning helped to identify a subset of individuals who, despite showing early signs of response to naltrexone, require additional treatment to maintain progress.

CONCLUSIONS

Q-learning can inform the development of more cost-effective, adaptive treatment strategies for treating substance use disorders.

Challenges to Practicing HIV Sex-Risk Prevention Among People in Continuing Care for Cocaine Addiction

BACKGROUND

Intimate partnerships are discouraged during early recovery, despite research that highlights their capacity to be resources for change.

OBJECTIVE

This study seeks to provide descriptions of intimate partnerships and how such partnerships challenge and/or support minimizing HIV sex-risk among participants in continuing care for cocaine addiction in order to inform substance use programming.

METHODS

Forty-two recorded continuing care counseling sessions of 33 people who discussed HIV sex-risk behavior were transcribed and analyzed using thematic analysis. This sample was derived from a larger randomized controlled trial that looked at the impact of a continuing care intervention for people with cocaine use problems.

RESULTS

Although participants expressed the desire for a primary intimate partnership, casual intimate partnerships that often involved HIV sex-risk behavior were more prevalent. Challenges to having a primary intimate partner included the belief that intimate partnerships do not support recovery, difficulty in developing friendships with women among heterosexual men, and the ubiquity of drug use and sex work in home environments with limited economic opportunity. Despite these challenges, some participants reported having primary intimate partners that supported their recovery through open communication.

CONCLUSION

Clinicians providing substance use interventions can consider encouraging components of intimate partnerships that support recovery. In addition, the strong environmental influence on individual HIV sex-risk behavior should be considered in delivering any substance use intervention.

Effect of Continuing Care for Cocaine Dependence on HIV Sex-Risk Behaviors

Evaluate the effect of continuing care interventions for cocaine use with HIV risk-reduction components on HIV sex-risk. Explore whether cocaine use at treatment initiation interacts with the type of continuing care intervention to affect HIV sex-risk. Cocaine dependent participants (N = 321) were randomized to: (1) Treatment as usual (TAU): intensive outpatient treatment, (2) TAU and telephone monitoring and counseling (TMC), and (3) TAU and TMC plus incentives for participation in telephone contacts (TMC+). Participants in TMC and TMC+ received a brief HIV intervention, with booster sessions as needed. Generalized estimating equations analysis compared TAU, TMC and TMC+ at 6, 12, 18, 24 months post-baseline on the following outcomes: overall HIV sex-risk, number of sexual partners, condom usage, exchange of drugs for sex, exchange of sex for drugs, exchange of money for sex, exchange of sex for money, and crack house visits. Overall sex-risk decreased for all treatment conditions at follow-up, with no treatment main effects. For people with no cocaine use at baseline, TAU experienced greater sex-risk reductions than TMC (p < .01) and TMC+ (p < .001). The three treatment conditions are effective in reducing HIV sex-risk. TMC with HIV risk-reduction components is unnecessary for cocaine-dependent clients who stop using cocaine early in treatment.

Psychosocial interventions for psychostimulant misuse

BACKGROUND

Psychostimulant misuse is a continuously growing medical and social burden. There is no evidence proving the efficacy of pharmacotherapy. Psychosocial interventions could be a valid approach to help patients in reducing or ceasing drug consumption.

OBJECTIVES

To assess the effects of psychosocial interventions for psychostimulant misuse in adults.

SEARCH METHODS

We searched the Cochrane Drugs and Alcohol Group Specialised Register (via CRSLive); Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE; EMBASE; CINAHL; Web of Science and PsycINFO, from inception to November 2015. We also searched for ongoing and unpublished studies via ClinicalTrials.gov (www.clinicaltrials.gov) and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (apps.who.int/trialsearch/).All searches included non-English language literature. We handsearched references of topic-related systematic reviews and the included studies.

SELECTION CRITERIA

We included randomised controlled trials comparing any psychosocial intervention with no intervention, treatment as usual (TAU) or a different intervention in adults with psychostimulant misuse or dependence.

DATA COLLECTION AND ANALYSIS

We used the standard methodological procedures expected by Cochrane.

MAIN RESULTS

We included a total of 52 trials (6923 participants).The psychosocial interventions considered in the studies were: cognitive behavioural therapy (19 studies), contingency management (25 studies), motivational interviewing (5 studies), interpersonal therapy (3 studies), psychodynamic therapy (1 study), 12-step facilitation (4 studies).We judged most of the studies to be at unclear risk of selection bias; blinding of personnel and participants was not possible for the type of intervention, so all the studies were at high risk of performance bias with regard to subjective outcomes; the majority of studies did not specify whether the outcome assessors were blind. We did not consider it likely that the objective outcomes were influenced by lack of blinding.The comparisons made were: any psychosocial intervention versus no intervention (32 studies), any psychosocial intervention versus TAU (6 studies), and one psychosocial intervention versus an alternative psychosocial intervention (13 studies). Five of included studies did not provide any useful data for inclusion in statistical synthesis.We found that, when compared to no intervention, any psychosocial treatment: reduced the dropout rate (risk ratio (RR): 0.83, 95% confidence interval (CI) 0.76 to -0.91, 24 studies, 3393 participants, moderate quality evidence); increased continuous abstinence at the end of treatment (RR: 2.14, 95% CI 1.27 to -3.59, 8 studies, 1241 participants, low quality evidence); did not significantly increase continuous abstinence at the longest follow-up (RR: 2.12, 95% CI 0.77 to -5.86, 4 studies, 324 participants, low quality evidence); significantly increased the longest period of abstinence: (standardised mean difference (SMD): 0.48, 95% CI 0.34 to 0.63, 10 studies, 1354 participants, high quality evidence). However, it should be noted that the in the vast majority of the studies in this comparison the specific psychosocial treatment assessed in the experimental arm was given in add on to treatment as usual or to another specific psychosocial or pharmacological treatment which was received by both groups. So, many of the control groups in this comparison were not really untreated. Receiving some amount of treatment is not the same as not receiving any intervention, so we could argue that the overall effect of the experimental psychosocial treatment could be smaller if given in add on to TAU or to another intervention than if given to participants not receiving any intervention; this could translate to a smaller magnitude of the effect of the psychosocial intervention when it is given in add on.When compared to TAU, any psychosocial treatment reduced dropout rate (RR: 0.72, 95% CI 0.59 to 0.89, 6 studies, 516 participants, moderate quality evidence), did not increase continuous abstinence at the end of treatment (RR: 1.27, 95% CI 0.94 to 1.72, 2 studies, 224 participants, low quality evidence), did not increase longest period of abstinence (MD -3.15 days, 95% CI -10.35 to 4.05, 1 study, 110 participants, low quality evidence). No studies in this comparison assessed the outcome of continuous abstinence at longest follow-up.There were few studies comparing two or more psychosocial interventions, with small sample sizes and considerable heterogeneity in terms of the types of interventions assessed. None reported significant results.None of the studies reported harms related to psychosocial interventions.

AUTHORS' CONCLUSIONS

The addition of any psychosocial treatment to treatment as usual (usually characterised by group counselling or case management) probably reduces the dropout rate and increases the longest period of abstinence. It may increase the number of people achieving continuous abstinence at the end of treatment, although this might not be maintained at longest follow-up. The most studied and the most promising psychosocial approach to be added to treatment as usual is probably contingency management. However, the other approaches were only analysed in a few small studies, so we cannot rule out the possibility that the results were not significant because of imprecision. When compared to TAU, any psychosocial treatment may improve adherence, but it may not improve abstinence at the end of treatment or the longest period of abstinence.The majority of the studies took place in the United States, and this could limit the generalisability of the findings, because the effects of psychosocial treatments could be strongly influenced by the social context and ethnicity. The results of our review do not answer the most relevant clinical question, demonstrating which is the most effective type of psychosocial approach.Further studies should directly compare contingency management with the other psychosocial approaches.

A sample size calculator for SMART pilot studies

In clinical practice, as well as in other areas where interventions are provided, a sequential individualized approach to treatment is often necessary, whereby each treatment is adapted based on the object's response. An adaptive intervention is a sequence of decision rules which formalizes the provision of treatment at critical decision points in the care of an individual. In order to inform the development of an adaptive intervention, scientists are increasingly interested in the use of sequential multiple assignment randomized trials (SMART), which is a type of multi-stage randomized trial where individuals are randomized repeatedly at critical decision points to a set treatment options. While there is great interest in the use of SMART and in the development of adaptive interventions, both are relatively new to the medical and behavioral sciences. As a result, many clinical researchers will first implement a SMART pilot study (i.e., a small-scale version of a SMART) to examine feasibility and acceptability considerations prior to conducting a full-scale SMART study. A primary aim of this paper is to introduce a new methodology to calculate minimal sample size necessary for conducting a SMART pilot.

Predictors of Abstinence From Heavy Drinking During Follow-Up in COMBINE

OBJECTIVE

Although the primary focus of clinical trials is on between-group comparisons during treatment, these studies can also yield insights into which patient characteristics predict longer term outcomes. Our goal was to identify predictors of good outcome during the 1-year follow-up in the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) Study.

METHOD

We constructed classification trees and a deterministic forest to predict no heavy drinking days during the last 8 weeks of the 1-year follow-up in COMBINE, based on more than 100 baseline predictors and drinking outcomes during the treatment phase of the study. The COMBINE sample was randomly split into a training and a validation data set. Logistic regression models were fit to compare the predictive performance of tree-based methods and classical methods.

RESULTS

A small tree with only two splits and four nodes based on abstinence and good clinical outcome during treatment had fair classification accuracy in the training and the validation samples: area under the curve (AUC) of 71% and 70%, respectively. Drinking outcomes during treatment were the strongest predictors in the deterministic forest. Logistic regression analyses based on four main effects (good clinical outcome, level of drinking during treatment, age at onset of alcohol dependence, and feeling more energetic) had slightly better classification accuracy (AUC = 74%).

CONCLUSIONS

End-of-treatment outcomes were the strongest predictors of long-term outcome in all analyses. The results emphasize the importance of optimizing outcomes during treatment and identify potential subgroups of individuals who require additional or alternative interventions to achieve good long-term outcome.

An Initial Evaluation of a Comprehensive Continuing Care Intervention for Clients with Substance Use Disorders: My First Year of Recovery (MyFYR)

INTRODUCTION

Physician health programs (PHPs) generate high rates of sustained abstinence in addicted physicians, through a combination of formal treatment, self-help involvement, regular monitoring via random urine toxicology tests, and powerful incentives generated by the threat of losing one's medical license. Recently, Caron Treatment Centers developed a new continuing care intervention, "My First Year of Recovery" (MyFYR), which is modeled after PHPs but provides extended recovery support to a broader segment of those with substance use disorders. This paper presents initial outcome data from MyFYR.

METHODS

MyFYR features frequent outcomes monitoring via urine toxicology tests, and also includes a web-based social platform to coordinate efforts of recovery coaches, family members, and others (e.g., employers, probation officers). Participants were the first 198 clients who enrolled in MyFYR after participating in residential treatment at Caron. Substance use outcomes were determined by a combination of urine toxicology tests, client self-report, and information from family members obtained during a 12-month period following entry into MyFYR.

RESULTS

Clients in MyFYR provided 70% of scheduled urine samples, for an average of 16.4 urine samples per client. Only 4.1% of the samples tested positive for alcohol or any drug. As determined by urine toxicology and client and family reports, 54% of the participants had some use of alcohol or drugs during the follow-up. Of these relapsed clients, 70.1% were retained or re-engaged in MyFYR, and of these, half were able to re-establish abstinence of two months duration or more, as documented by urine toxicology.

DISCUSSION

These initial results are extremely promising, as they document high rates of sustained participation in urine drug test monitoring and positive outcome in clients not under the threat of losing a professional license or incarceration.

An independent replication of the Adolescent-Community Reinforcement Approach with justice-involved youth

BACKGROUND AND OBJECTIVES

Substance use disorders among youth remain a serious public health problem. Although research has overwhelmingly supported the use of evidenced-based interventions, one of the primary limitations of the current evidence base is that for the vast majority of treatments, the developers of the treatments are also the ones conducting research on them, raising the possibility of allegiance bias.

METHODS

The present study was an independently conducted randomized controlled trial (n = 126) comparing an evidenced-based treatment for adolescent substance use, Adolescent-Community Reinforcement Approach (A-CRA), and assertive continuing care (ACC), to services as usual (SAU) provided by a juvenile probation department. Latent growth curve modeling was used to compare the treatments on change in substance use assessed by the Global Appraisal of Individual Needs (GAIN) at baseline and 3, 6, and 12 months following treatment entry.

RESULTS

All youth evidenced a substantial reduction in substance use frequency and substance-related problems following treatment; however, youth treated with A-CRA/ACC evidenced a substantially greater decrease in substance-related problems.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

Results are consistent with studies conducted by A-CRA/ACC model developers supporting the effectiveness of the clinical approach and, because the outcomes resulted from an independent replication, are encouraging for the transportation potential of A-CRA/ACC.

Cost-effectiveness analysis of a continuing care intervention for cocaine-dependent adults

INTRODUCTION

The study conducts a cost-effectiveness analysis (CEA) of a continuing care Telephone Monitoring and Counseling (TMC) intervention for adults diagnosed with cocaine dependence. Participants were randomly assigned to a control condition of intensive outpatient treatment only (treatment-as-usual, or TAU; N=108), or to one of two treatment conditions featuring TMC (N=106) and TMC plus incentives (TMC-plus; N=107). Follow-up assessments were conducted over a 2-year period.

METHODS

Intervention and client costs were collected with the program and client versions of the Drug Abuse Treatment Cost Analysis Program (DATCAP). Effectiveness was measured as the number of days abstinent during follow-up. Secondary analyses consider alternative measures of effectiveness and the reduced societal costs of physical and mental health problems and criminal justice involvement.

RESULTS

From the societal perspective, TMC dominates both TAU and TMC-plus as a cost-effective and cost-saving intervention. Results varied by substance-using status, however, with the subgroup of participants in TMC-plus that were using drugs at intake and early in treatment having the greatest number of days of abstinence and generating similar savings during follow-up than the TMC subgroup using drugs at intake.

CONCLUSIONS

Telephone monitoring and counseling appears to be a cost-effective and potentially cost-saving strategy for reducing substance use among chronic substance users. Providing client incentives added to total intervention costs but did not improve overall effectiveness.

CLINICAL TRIAL REGISTRATION

Clinical Trials.gov Number: NCT00685659.

The effectiveness of telephone counselling in the treatment of illicit drug and alcohol use concerns

INTRODUCTION

Technology-assisted substance use interventions such as 'high-tech' internet-based treatments are thought to be effective; however, the relatively 'low-tech' use of telephone counselling does not yet have an established evidence base. This paper reviews the literature including articles with information on the use of telephone counselling for the treatment of illicit drug or alcohol use.

METHODS

A systematic literature search using a set of telephone counselling and substance-related terms was conducted across four electronic databases. English studies prior to June 2014 that involved the use of telephone counselling with the treatment of illicit drug or alcohol use as a primary or secondary outcome were included. Review papers, opinion pieces, letters or editorials, case studies, published abstracts, and posters were excluded. In all, 94 publications were included in the review.

RESULTS AND DISCUSSION

The literature was supportive of telephone counselling for the treatment of alcohol use in the short term; however, literature regarding illicit drug use was particularly scarce. The generalisability of findings was limited by evident methodological issues in the included studies.

The role of the working alliance in treatment for alcohol problems

Little research has been done on the role of the therapeutic working alliance in treatment for alcohol problems. This longitudinal study’s objectives were (a) to identify predictors of working alliance and (b) to investigate whether client and/or therapist reports of the working alliance predicted posttreatment motivation and then later treatment outcome. Client and therapist perceptions of the working alliance were assessed after the first treatment session using a short form of the Working Alliance Inventory (WAI) among 173 clients taking part in the United Kingdom Alcohol Treatment Trial (UKATT) and randomized to motivational enhancement therapy (MET) or social behavior and network therapy (SBNT) with complete data on all measures of interest. Structural equation models were fitted to identify predictors of WAI scores and investigate the relationships between WAI and measures of drinking during treatment, posttreatment motivation, and successful treatment outcome (abstinent or nonproblem drinker), and measures of drinks per drinking day and nondrinking days, assessed 9 months after the conclusion of treatment. Motivation to change drinking when treatment began was a strong predictor of client—adjusted coefficient = 2.21 (95% confidence interval [CI] [0.36, 4.06]—but not therapist WAI. Client WAI predicted successful treatment outcome—adjusted odds ratios (OR) = 1.09 (95% CI [1.02, 1.17])—and had effects on drinking during treatment, and on posttreatment motivation to change. There was evidence for effect modification by treatment, with strong associations between WAI and posttreatment motivation, and evidence of WAI prediction of treatment outcomes in the MET group, but no evidence of associations for SBNT. Therapist WAI was not strongly associated with treatment outcome (adjusted OR = 1.05; 95% CI [0.99, 1.10]). The working alliance is important to treatment outcomes for alcohol problems, with client evaluation of the alliance strongly related to motivation to change drinking throughout treatment for MET. It was also much more important than therapist-rated alliance in this study.

The Use of New Communications Technologies to Evaluate and Intervene in Substance Use Disorders

The widespread availability of high speed, mobile cellular telephones and other advances in communication technology have the potential to change the way that interventions for substance use disorders (SUD) are delivered and how progress is monitored. This article reviews recent research on the use of new technology to monitor progress and deliver interventions for SUD. Several studies of telephone-based interventions show positive effects, but sometimes only in certain subgroups. However, other studies produced negative results. Studies support the use of interactive voice response (IVR) and personal digital assistants (PDAs) to conduct assessments, but there is little data on whether IVR- or PDA-based interventions improve outcomes. Text messaging has received comparatively little research, but appears promising as a means to conduct assessments and deliver automated interventions. Finally, smartphone technology provides the widest range of features and interventions and the greatest flexibility, but few intervention studies that use them have been conducted.

Beyond bricks and mortar: recent research on substance use disorder recovery management

Scientific advances in the past 15 years have clearly highlighted the need for recovery management approaches to help individuals sustain recovery from chronic substance use disorders. This article reviews some of the recent findings related to recovery management: (1) continuing care, (2) recovery management checkups, (3) 12-step or mutual aid, and (4) technology-based interventions. The core assumption underlying these approaches is that earlier detection and re-intervention will improve long-term outcomes by minimizing the harmful consequences of the condition and maximizing or promoting opportunities for maintaining healthy levels of functioning in related life domains. Economic analysis is important because it can take a year or longer for such interventions to offset their costs. The article also examines the potential of smartphones and other recent technological developments to facilitate more cost-effective recovery management options.

The continuing care model of substance use treatment: what works, and when is "enough," "enough?"

There is little disagreement in the substance use treatment literature regarding the conceptualization of substance dependence as a cyclic, chronic condition consisting of alternating episodes of treatment and subsequent relapse. Likewise, substance use treatment efforts are increasingly being contextualized within a similar disease management framework, much like that of other chronic medical conditions (diabetes, hypertension, etc.). As such, substance use treatment has generally been viewed as a process comprised of two phases. Theoretically, the incorporation of some form of lower intensity continuing care services delivered in the context of outpatient treatment after the primary treatment phase (e.g., residential) appears to be a likely requisite if all stakeholders aspire to successful long-term clinical outcomes. Thus, the overarching objective of any continuing care model should be to sustain treatment gains attained in the primary phase in an effort to ultimately prevent relapse. Given the extant treatment literature clearly supports the contention that treatment is superior to no treatment, and longer lengths of stay is associated with a variety of positive outcomes, the more prudent question appears to be not whether treatment works, but rather what are the specific programmatic elements (e.g., duration, intensity) that comprise an adequate continuing care model. Generally speaking, it appears that the duration of continuing care should extend for a minimum of 3 to 6 months. However, continuing care over a protracted period of up to 12 months appears to be essential if a reasonable expectation of robust recovery is desired. Limitations of prior work and implications for routine clinical practice are also discussed.

Who benefits from extended continuing care for cocaine dependence?

The goal of this study was to determine which cocaine dependent patients engaged in an intensive outpatient program (IOP) were most likely to benefit from extended continuing care (24 months). Participants (N=321) were randomized to: IOP treatment as usual (TAU), TAU plus Telephone Monitoring and Counseling (TMC), or TAU plus TMC plus incentives for session attendance (TMC+). Potential moderators examined were gender, stay in a controlled environment prior to IOP, number of prior drug treatments, and seven measures of progress toward IOP goals. Outcomes were: (1) abstinence from all drugs and heavy alcohol use, and (2) cocaine urine toxicology. Follow-ups were conducted at 3, 6, 9, 12, 18, and 24 months post-baseline. Results indicated that there were significant effects favoring TMC+ over TAU on the cocaine urine toxicology outcome for participants in a controlled environment prior to IOP and for those with no days of depression early in IOP. Trends were obtained favoring TMC over TAU for those in a controlled environment (cocaine urine toxicology outcome) or with high family/social problem severity (abstinence composite outcome), and TMC+ over TAU for those with high family/social problem severity or high self-efficacy (cocaine urine toxicology outcome). None of the other potential moderator effects examined reached the level of a trend. These results generally do not suggest that patients with greater problem severity or poorer performance early in treatment on the measures considered in this report will benefit to a greater degree from extended continuing care.

Enhanced continuing care provided in parallel to intensive outpatient treatment does not improve outcomes for patients with cocaine dependence

OBJECTIVE

This study tested whether the addition of an enhanced continuing care (ECC) intervention that combined in-person and telephone sessions and began in the first week of treatment improved outcomes for cocaine-dependent patients entering an intensive outpatient program (IOP).

METHOD

Participants (N = 152) were randomized to IOP treatment as usual (TAU) or IOP plus 12 months of ECC. ECC included cognitive-behavioral therapy elements to increase coping skills, as well as monetary incentives for attendance. It was provided by counselors situated at a separate clinical research facility who did not provide IOP. The primary outcomes measured were (a) cocaine urine toxicology and (b) good clinical outcome, as indicated by abstinence from all drugs and from heavy alcohol use. Secondary outcomes were frequency of abstinent days, cocaine use days, and heavy drinking days. Follow-ups were conducted at 3, 6, 9, and 12 months after baseline.

RESULTS

Patients in ECC completed a mean of 18 sessions. Contrary to the hypotheses, patients in TAU had better scores on both the cocaine urine toxicology and the good clinical outcome measures than those in ECC, as indicated by significant Group × Time interactions (cocaine urine toxicology, p = .0025; abstinence composite, p = .017). These results were not moderated by substance use before or early in treatment or by IOP attendance. Results with the secondary outcomes also did not favor ECC over TAU.

CONCLUSIONS

Continuing care that is not well integrated with the primary treatment program may interfere in some way with the therapeutic process, particularly when it is implemented shortly after intake.

Factors in sustained recovery from cocaine dependence

The goal was to identify factors that predicted sustained cocaine abstinence and transitions from cocaine use to abstinence over 24 months. Data from baseline assessments and multiple follow-ups were obtained from three studies of continuing care for patients in intensive outpatient programs (IOPs). In the combined sample, remaining cocaine abstinent and transitioning into abstinence at the next follow-up were predicted by older age, less education, and less cocaine and alcohol use at baseline, and by higher self-efficacy, commitment to abstinence, better social support, lower depression, and lower scores on other problem severity measures assessed during the follow-up. In addition, higher self-help participation, self-help beliefs, readiness to change, and coping assessed during the follow-up predicted transitions from cocaine use to abstinence. These results were stable over 24 months. Commitment to abstinence, self-help behaviors and beliefs, and self-efficacy contributed independently to the prediction of cocaine use transitions. Implications for treatment are discussed.